Lead Data Scientist — Forecasting & Causality (Remote)

Lingaro; Poland; Hybrid; PLN 191,164 - 297,366; Full time

Benefits offered by this job

Stable employment

Workation policy

Access to Udemy

Certificate training programs

Upskilling support

Modern office equipment

Job summary

Lingaro is seeking a professional in Poland to deliver business solutions using Machine Learning and Data Science. This role involves collaboration with business stakeholders to address their problems through innovative ML solutions.

The ideal candidate will have commercial experience with various ML models, solid knowledge in customer analytics, and be fluent in Python. The company offers stable employment, flexibility in working hours, and numerous upskilling opportunities within a diverse and inclusive community.

Qualifications

• Commercial experience with various classical data science models like decision trees and linear regression.
• Solid knowledge of customer analytics concepts or advanced forecasting.
• Experience transforming business requirements into technical plans.
• Fluency in Python and knowledge of specific DS/ML libraries.
• Solid experience in one of the cloud computing platforms.

Responsibilities

• Work on classification and forecasting use cases.
• Explore and clean data; perform EDA to understand data.
• Engineer features for tabular and time-series data.
• Train and tune standard ML models.
• Build visualizations and concise reports for stakeholders.

Skills

Commercial experience with data science and ML models

Solid knowledge of customer analytics

Fluency in Python

Basic working knowledge of SQL

Experience in analytical role

Tools

Databricks

GCP

Azure

Job description

Lingaro is seeking a professional in Poland to deliver business solutions using Machine Learning and Data Science. This role involves collaboration with business stakeholders to address their problems through innovative ML solutions.

The ideal candidate will have commercial experience with various ML models, solid knowledge in customer analytics, and be fluent in Python. The company offers stable employment, flexibility in working hours, and numerous upskilling opportunities within a diverse and inclusive community.